MSSBoost: A new multiclass boosting to semi-supervised learning-Reference-Cited by-同舟云学术

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MSSBoost: A new multiclass boosting to semi-supervised learning

Published:2018-11 Issue: Volume:314 Page:251-266
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Tanha Jafar^ORCID

Funder

IPM

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference47 articles.

1. Reducing multiclass to binary: a unifying approach for margin classifiers;Allwein;J. Mach. Learn. Res.,2001

2. A subspace approach to error correcting output codes;Bagheri;Pattern Recognit. Lett.,2013

3. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples;Belkin;J. Mach. Learn. Res.,2006

4. Semi-supervised support vector machines;Bennett,1999

5. Exploiting unlabeled data in ensemble methods;Bennett,2002

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